Detection & response
Learning what normal activity looks like and raising an alarm when something departs from it, even if no rule describes the attack.
Formal
A way of finding threats by building a model of normal behaviour for users, devices or network traffic - often with machine learning - and flagging events that differ from it by more than a set amount.
In plain English
Like a bank teller who knows a regular customer so well that she notices at once when he asks to move all his savings abroad on a Sunday.
In practice
A municipal finance clerk's account, which normally opens a few files a day, suddenly copies ten thousand files one night; no rule covers this, but the model flags it and the SOC finds malware.
Why it matters
It can catch new attacks that no one has written a rule for yet, but unusual is not the same as harmful, so it brings many false alarms that people must judge.